Jonathan T. Beard
Papers
1
Total Citations
4
H-Index
1
About
Jonathan T. Beard is a researcher whose work lies at the intersection of artificial intelligence, robotics, and human-machine teaming, with a particular focus on adjustable autonomy and command-and-control systems. His most-cited paper, "A deontic implementation of adjustable autonomy for command and control of robotic assets" (2006, 4 citations), introduces a novel framework that leverages deontic logic and Joint Intention Theory to dynamically manage the autonomy levels of simulated unmanned vehicles. This work, developed under Soar Technology's Intelligent Control Framework project, represents a foundational contribution to the field of adjustable autonomy, enabling more flexible and trustworthy human-robot collaboration. By formally modeling permissions, obligations, and prohibitions in robotic decision-making, Beard's research addresses critical challenges in military and civilian applications where human oversight must be balanced with machine efficiency. Though his citation count is modest, his work has influenced subsequent studies on deontic reasoning in multi-agent systems and human-robot interaction. Beard's contributions are particularly notable for bridging theoretical AI concepts with practical command-and-control architectures, offering a principled approach to ensuring that autonomous systems remain under meaningful human control.
Research Focus
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Top Papers
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